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Real Time Region Analysis for Image Data

  • Y. Fukada

Abstract

An important and difficult problem in image processing is to segment an image into several different kinds of regions. Unless we isolate regions, we cannot perform further processing for pattern recognition, scene analysis, image interpretation, etc. Besides, if the segmentation phase can be done at high speed, this reduces the total processing time greatly.

Keywords

Aerial Photograph Total Processing Time Assembly Language Unknown Region Segmentation Phase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Duda, R. O. and Hart, P. E., Pattern Classification and Scene Analysis, New York, Wiley (1973).Google Scholar
  2. Fukada, Y., “Spatial Clustering Procedures for Region Analysis,” Proc. 4th Int. Joint Conf. on Pattern Recog. (1978).Google Scholar
  3. Fukunaga, K., Introduction to Statistical Pattern Recognition, New York, Academic Press (1972).Google Scholar
  4. Haralick, R. M. and Kelly, G. L., “Pattern Recognition with Measurement Space and Spatial Space for Multiple Images,” Proc. IEEE 57(4): 654–665 (1969).CrossRefGoogle Scholar
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  6. Knuth, D. E., The Art of Computer Programming, Vol. 3, Boston, Addison-Wesley (1973).Google Scholar

Copyright information

© Plenum Press, New York 1981

Authors and Affiliations

  • Y. Fukada
    • 1
  1. 1.Central Research LaboratoryMitsubishi Electric Corp.AmagasakiJapan

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